Qvalues (FSharp.Stats) | FSharp.Stats

FSharp.Stats

Qvalues Module

Namespace: FSharp.Stats.Testing
Assembly: FSharp.Stats.dll
Parent Module: MultipleTesting

Estimate the q-values for a given set of p-values. The q-value of a test measures the proportion of false positives incurred (called the false discovery rate) when that particular test is called significant.

Functions and values

Function or value	Description
`ofPValues pi0 pValues` Full Usage: `ofPValues pi0 pValues` Parameters: pi0 : `float` - can be calculated with 'pi0Bootstrap' or 'pi0BootstrapWithLambda'. pValues : `float[]` - sequence of p values to correct Returns: `float array`	Calculates q-values from given p-values and returns an array of qValues in the same order. nan p values are ignored and reported as nan. pi0 : `float` can be calculated with 'pi0Bootstrap' or 'pi0BootstrapWithLambda'. pValues : `float[]` sequence of p values to correct Returns: `float array`
`ofPValuesBy pi0 projection pValues` Full Usage: `ofPValuesBy pi0 projection pValues` Parameters: pi0 : `float` - can be calculated with 'pi0Bootstrap' or 'pi0BootstrapWithLambda'. projection : `'a -> float` - projection function to isolate the pvalue from input type 'a pValues : `'a[]` - sequence of p values to correct Returns: `float array`	Calculates q-values from given p-values and returns an array of qValues in the same order. nan p values are ignored and reported as nan. pi0 : `float` can be calculated with 'pi0Bootstrap' or 'pi0BootstrapWithLambda'. projection : `'a -> float` projection function to isolate the pvalue from input type 'a pValues : `'a[]` sequence of p values to correct Returns: `float array`
`ofPValuesRobust pi0 pValues` Full Usage: `ofPValuesRobust pi0 pValues` Parameters: pi0 : `float` - can be calculated with 'pi0Bootstrap' or 'pi0BootstrapWithLambda'. pValues : `float[]` - sequence of p values to correct Returns: `float array`	Calculates q-values from given p-values and returns an array of robust qValues in the same order. More robust for small p values when testcount is low, see Storey JD (2002) JRSS-B 64: 479-498. nan p values are ignored and reported as nan. pi0 : `float` can be calculated with 'pi0Bootstrap' or 'pi0BootstrapWithLambda'. pValues : `float[]` sequence of p values to correct Returns: `float array`
`ofPValuesRobustBy pi0 projection pValues` Full Usage: `ofPValuesRobustBy pi0 projection pValues` Parameters: pi0 : `float` - can be calculated with 'pi0Bootstrap' or 'pi0BootstrapWithLambda'. projection : `'a -> float` - projection function to isolate the pvalue from input type 'a pValues : `'a[]` - sequence of p values to correct Returns: `float array`	Calculates q-values from given p-values and returns an array of robust qValues in the same order. More robust for small p values when testcount is low, see Storey JD (2002) JRSS-B 64: 479-498. nan p values are ignored and reported as nan. pi0 : `float` can be calculated with 'pi0Bootstrap' or 'pi0BootstrapWithLambda'. projection : `'a -> float` projection function to isolate the pvalue from input type 'a pValues : `'a[]` sequence of p values to correct Returns: `float array`
`pi0Bootstrap pValues` Full Usage: `pi0Bootstrap pValues` Parameters: pValues : `float[]` Returns: `float`	Estimates pi0 from given p-Values by Storeys bootstrap method using default lambda's pi0 is the value to which, one can find certain values of the distribution at random. If this returns 0. default lambda needs to be smaller. One should use 'pi0BootstrapWithLambda' in this case. pValues : `float[]` Returns: `float`
`pi0BootstrapWithLambda lambda pValues` Full Usage: `pi0BootstrapWithLambda lambda pValues` Parameters: lambda : `float[]` pValues : `float[]` Returns: `float`	Estimates pi0 from given p-Values by Storeys bootstrap . pi0 is the value to which, one can find certain values of the distribution at random. If this returns 0. lambda needs to be smaller. Math Definition for lambda = [0,1) . Contains values from 0 to 1, but not 1. lambda : `float[]` pValues : `float[]` Returns: `float`